Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Access Policy transformation
  6. B2B transformation
  7. Aggregator transformation
  8. Cleanse transformation
  9. Data Masking transformation
  10. Data Services transformation
  11. Deduplicate transformation
  12. Expression transformation
  13. Filter transformation
  14. Hierarchy Builder transformation
  15. Hierarchy Parser transformation
  16. Hierarchy Processor transformation
  17. Input transformation
  18. Java transformation
  19. Java transformation API reference
  20. Joiner transformation
  21. Labeler transformation
  22. Lookup transformation
  23. Machine Learning transformation
  24. Mapplet transformation
  25. Normalizer transformation
  26. Output transformation
  27. Parse transformation
  28. Python transformation
  29. Rank transformation
  30. Router transformation
  31. Rule Specification transformation
  32. Sequence Generator transformation
  33. Sorter transformation
  34. SQL transformation
  35. Structure Parser transformation
  36. Transaction Control transformation
  37. Union transformation
  38. Velocity transformation
  39. Verifier transformation
  40. Web Services transformation

Transformations

Transformations

Editing transformation data types

Editing transformation data types

When
Data Integration
reads source data, it converts the native data types to comparable transformation data types before it transforms the data. When
Data Integration
writes to a target, it converts the transformation data types to the comparable native data types. When you edit source metadata, you can sometimes change the transformation data type for a field.
You can change the transformation data type for connectors in which the native data type has multiple corresponding transformation data types.
For example, in a Kafka source, you can map the native data type binary to the transformation data type binary or string.
To change the transformation data type, edit the metadata for the source, and select the appropriate transformation data type in the
Type
column.
When you edit the transformation data type for a field,
Data Integration
updates the data type for the field in the downstream transformations. It also updates the data type for the field in the target if the target is created at runtime. If the mapping contains an existing target, you might need to edit the field metadata in the target to ensure that the data types are compatible.
For more information about editing transformation data types for different source types, see the help for the appropriate connector.

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